Size-concentration Dependent Analysis of Nanoparticle Agglomeration in Aqueous Suspension

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Yaowapa Saengpayb*


A direct simulation Monte Carlo (DSMC) model is applied for the analysis of TiO2 nanoparticles (TNP) agglomeration at various initial mass concentrations in an aqueous suspension. In this approach, TNP is simulated in a box. The agglomeration probability of NP is simulated within the context of Brownian motion. At diluted concentrations, model prediction is in quantitative agreement with the particle size distribution via dynamic light scattering measurement. This study shows that the applied DSMC model has the potential to predict the TNP size distribution in aqueous environment at the short time scale.

Keywords: DSMC, nanoparticles, agglomeration, Monte-Carlo, size-distribution

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